'Clustering microarray data' diaporamas de présentation

Microarray Data Analysis

Microarray Data Analysis. Class discovery and Class prediction: Clustering and Discrimination. Gene expression profiles. Many genes show definite changes of expression between conditions These patterns are called gene profiles. Motivation (1): The problem of finding patterns.

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Clustering microarray data

Clustering microarray data. 09/26/07. Sub-classes of lung cancer types have signature genes. (Bhattacharjee 2001). Promoter analysis of commonly regulated genes. David J. Lockhart & Elizabeth A. Winzeler, NATURE | VOL 405 | 15 JUNE 2000, p827. Discovery of new cancer subtype.

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Clustering and pathway analysis

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Microarrays

Microarrays. Technology behind microarrays Data analysis approaches Clustering microarray data. Molecular biology overview. Nucleus. Cell. Chromosome. Gene (DNA). Gene (mRNA), single strand. Protein. Graphics courtesy of the National Human Genome Research Institute. Gene expression.

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Lecture 5 MicroArray clustering and data analysis

Lecture 5 MicroArray clustering and data analysis. BIO454 Dr. Alaa eldin Abdallah yassin. Outline. Microarray data analysis. Concatemer method. Supervised and unsupervised learning. What is clustering technique? Clustering technique and Microarray data analysis.

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Microarray Data Analysis

Microarray Data Analysis. Jahangheer Shaik. Summary. Problem Definition Proposed methods Summary Future works. Problem Definition. Given the unique characteristics of microarray data, there are two major areas of research. Finding Differentially expressed genes

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